class_docstr: A structured environment which returns random actions
docstr: Override the action spaces according to the introduced sub steps.
docstr_tok: ["Override","the","action","spaces","according","to","the","introduced","sub","steps","."]
code: def action_spaces_dict(
      self,
  ) -> Dict[Union[int, str], gym.spaces.Dict]:
      """Override the action spaces according to the introduced sub steps."""
      return self._action_spaces_dict
  
imports: from typing import Any, Dict, Union, Tuple, Callable, Optional
  import gym
  import numpy
  from maze.core.env.maze_env import MazeEnv
  from maze.core.env.structured_env import StructuredEnv, StepKeyType, ActorID
  from maze.core.env.structured_env_spaces_mixin import StructuredEnvSpacesMixin
  from maze.core.wrappers.wrapper import Wrapper
label_desc: Use image node_id 11 for calling the DummyStructuredEnvironment obj's underlying member method code with example usage: obj.action_spaces_dict() and returns: self